The Department of Computer Science of the NAS of Ukraine and the Presidium of the National Academy of Sciences of Ukraine with deep sorrow announce that Ivan Vasyliovych Serhiienko, Academician of the NAS of Ukraine, renowned scientist in the fields of computer science, optimization theory, and computer technologies, former Director of the V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, passed away on July 28, 2026, and express our sincere condolences to his family and close ones.
Ivan Vasyliovych Serhiienko was born on August 13, 1936, in the village of Bilotserkivtsi, Poltava region. After graduating in 1959 from the Faculty of Mechanics and Mathematics of Taras Shevchenko Kyiv State University, he began working at the V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, and dedicated his entire life to it.
I.V. Serhiienko was a distinguished scholar in the field of computer science, optimization theory, and computer technologies, DSc in Physics and Mathematics (1972), Professor (1973), Academician of the NAS of Ukraine (1988), laureate of the USSR State Prize (1981), Prize of the Council of Ministers of the USSR (1982), State Prizes of Ukraine in the field of science and engineering (1972, 1993, 1999, 2005), V.M. Glushkov (1986), S.O. Lebedev (1997), V.S. Mykhalevych (2002), A.O. Dorodnitsyn (2007), M.M. Amosov (2017) prizes of the NAS of Ukraine, Honored Master of Sciences and Engineering of Ukraine (1991). He was awarded the Order of Friendship of Peoples and the Orders of Merit, Ist, IInd, and IIIrd classes.
I.V. Serhiienko was the author of over 800 scientific publications, including 55 monographs. He conducted fundamental research on mathematical models and optimization methods, the theory of stability of discrete optimization problems. The vector descent method he developed contributed to the construction of a family of fast algorithms for solving extremely complex multi-extremal problems and proved to be a universal mathematical tool applied in the design of integrated circuits, planning of flexible manufacturing systems, optimization of transport flows, and logistics.
Under his academic advising, a new class of decomposition methods for searching optimal solutions for distributed network structures under extreme data uncertainty was developed. This enabled real-time forecasting of cascading failures, calculation of optimal power flow schemes to maintain the integrity of the power system, and identification of critical nodes whose restoration would provide the maximum synergetic effect for stabilizing power supply.
Among I.V. Serhiienko’s achievements were modeling processes in multicomponent distributed environments and creating information technologies for various purposes. Under his guidance, the SKIT supercomputer series and a number of intelligent information computer technologies for them were developed, enabling the solution of extremely complex state-scale problems in economy, ecology, management, defense, and information protection in computer networks.
I.V. Serhiienko taught for many years at his Alma Mater and at the National Technical University "Igor Sikorsky KPI," preparing 29 DScs and 60 PhDs.
He held the positions of Director of the V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, Director General of the Cybernetics Center of the NAS of Ukraine, Academician-Secretary of the Department of Computer Science of the NAS of Ukraine, and was an advisor to the Presidium of the NAS of Ukraine.
Ivan Vasyliovych Serhiienko was President of the Ukrainian Federation of Informatics, Chairman of the National Committee of Ukraine on Informatics, Chairman of the Special Council under the Committee on Science and Education of the Verkhovna Rada of Ukraine, and Editor-in-Chief of the international scientific journal "Cybernetics and Systems Analysis," and the collection of scientific publications "Cybernetics and Computer Technologies."
The scientific community, colleagues, students, and friends deeply mourn Ivan Vasyliovych Serhiienko and express sincere condolences to his family and close ones.